Concrete mesoscopic numerical test piece generation method and system based on fluid-structure interaction analysis

Abstract

The invention provides a concrete mesoscopic numerical test piece generation method based on fluid-solid coupling analysis, and belongs to the technical field of concrete numerical simulation, and the concrete mesoscopic numerical test piece generation method comprises the following steps: establishing gravel aggregate three-dimensional models with different diameters, and constructing a real aggregate model library according to the different three-dimensional models; determining the size and the number of aggregates according to the concrete proportion and the fullerene curve, and randomly selecting a gravel aggregate three-dimensional model in a real aggregate model library; the computational domain is filled with mortar, and the concrete mixing-pouring-vibrating process of the aggregate and the mortar is simulated through an SPH-DEM coupling calculation method; and when the kinetic energy of the computational domain approaches zero, extracting the spatial distribution information of the aggregate in the test piece to obtain the concrete mesoscopic value test piece with the real value. A real aggregate model library is established by utilizing a three-dimensional scanning technology, then a concrete preparation process is really simulated by utilizing a fluid-solid coupling analysis method, and a real aggregate shape and spatial distribution thereof can be determined.

Description

Technical Field

[0001] The invention belongs to the technical field of concrete numerical simulation, and in particular relates to a method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis. Background Art

[0002] The numerical simulation method of concrete mesomechanics is an important means to study concrete performance. It captures the nonlinear behavior of materials by distinguishing the material properties differences among cement mortar, aggregate and the interface transition zone between the two.

[0003] The concrete mesomechanics numerical specimen is the basis of mesomechanics research. The meso-numeric specimen contains the shape and spatial distribution information of coarse aggregate. The traditional method of generating meso-component distribution is to simplify the crushed stone aggregate into a convex polyhedron, randomly put it into the concrete specimen, generate non-invading aggregates in the specimen space, and put large aggregates before small aggregates, resulting in the specimen being unable to truly reflect the true shape, distribution, and content of aggregates. This is also one of the three major difficulties that plague the generation of meso-numeric specimens, which may lead to incorrect mesomechanics analysis results. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis, comprising:

[0007] Establish the aggregate rigid body to generate concrete mesoscopic numerical specimens;

[0008] The smooth particle hydrodynamics method SPH and discrete element method DEM are used to simulate the mixing-pouring-vibration process of aggregate rigid bodies and mortar to obtain a concrete mixture, wherein SPH is used to simulate the shear thinning behavior of mortar, and DEM is used to simulate the movement of aggregates in the mortar; the interaction force between the aggregate rigid bodies in the concrete mixture at time t in the simulation process is calculated, and the linear velocity, angular velocity and center of mass position of the aggregate rigid body, as well as the velocity, relative density and position of the mortar particles are obtained through the interaction force;

[0009] Update the position, pressure, linear velocity and relative density of each aggregate rigid body in the concrete mixture in the SPH simulation space, and iteratively calculate the linear velocity, angular velocity and center of mass position of the aggregate rigid body at time t+n, as well as the velocity, relative density and position of the mortar particles until the mixing-pouring-vibration process is completed;

[0010] The linear velocity, angular velocity and center of mass position of the aggregate rigid body in the concrete mixture at time t+n, as well as the spatial distribution information consisting of the velocity, relative density and position of the mortar particles are extracted, and the real numerical concrete mesoscopic numerical specimen is obtained based on the spatial distribution information.

[0011] Preferably, a threshold method is used to calculate the interaction force between the rigid bodies of aggregates in the concrete mixture, specifically:

[0012]

[0013] f t (v,t,q)=f e -f c ;

[0014] Where M is the aggregate mass matrix, t is the simulation time, q is the aggregate rigid body coordinate, v is the aggregate rigid body velocity, and f t is the resultant force of the external force and the constraint force, f e is the external force, f c is the interaction force, and L is the linear transformation function.

[0015] Preferably, the interaction force includes the interaction force between aggregates, the interaction force between aggregates and SPH particles, and the interaction force between aggregates and boundaries.

[0016] Preferably, the external force f e The calculation is as follows:

[0017] Considering the fluid-rigid body interaction and the linear acceleration dV / dt and angular acceleration dΩ / dt of the rigid body, the linear force F and torque T of the aggregate rigid body are calculated, and the external force f is obtained by the linear force F and torque T. e .

[0018] Preferably, the method of establishing an aggregate rigid body for generating a concrete mesoscopic numerical specimen comprises:

[0019] Three-dimensional models of crushed stone aggregates with different diameters are established, and a real aggregate model library is constructed. The number of aggregates is calculated according to the concrete mix information, and the three-dimensional models of crushed stone aggregates in the real aggregate model library are randomly selected as aggregate rigid bodies according to the number of aggregates.

[0020] Preferably, the calculating the amount of aggregate according to the concrete mix ratio information is specifically to determine the amount of aggregate by using the Fuller curve based on the concrete mix ratio information.

[0021] The present invention also proposes a concrete mesoscopic numerical specimen generation system based on fluid-solid coupling analysis, comprising:

[0022] Model building module, used to build aggregate rigid bodies for generating concrete mesoscopic numerical specimens;

[0023] The behavior simulation module is used to simulate the mixing-casting-vibration process of aggregate rigid bodies and mortar using the smooth particle hydrodynamics method SPH and the discrete element method DEM to obtain a concrete mixture, wherein SPH is used to simulate the shear thinning behavior of the mortar, and DEM is used to simulate the movement of aggregates in the mortar; the interaction force between the aggregate rigid bodies in the concrete mixture at time t in the simulation process is calculated, and the linear velocity, angular velocity and center of mass position of the aggregate rigid body, as well as the velocity, relative density and position of the mortar particles are obtained through the interaction force;

[0024] The simulation update module is used to update the position, pressure, linear velocity and relative density of each aggregate rigid body in the concrete mixture in the SPH simulation space, and iteratively calculate the linear velocity, angular velocity and center of mass position of the aggregate rigid body at time t+n, as well as the velocity, relative density and position of the mortar particles until the mixing-pouring-vibration process is completed;

[0025] The specimen generation module is used to extract the linear velocity, angular velocity and center of mass position of the aggregate rigid body in the concrete mixture at time t+n, as well as the spatial distribution information composed of the velocity, relative density and position of the mortar particles, and obtain the real numerical concrete mesoscopic numerical specimen based on the spatial distribution information.

[0026] The present invention also provides a computer device, comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement any one of the steps in the method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis.

[0027] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is loaded by a processor, it can execute any step of the method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis.

[0028] The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis provided by the present invention has the following advantages:

[0029] Beneficial effects:

[0030] The present invention adopts a smooth particle hydrodynamic method SPH and a discrete element method DEM to simulate the mixing-pouring-vibration process of an aggregate rigid body and mortar to obtain a concrete mixture, constructs the concrete preparation process into a rheological mechanics problem, adopts a fluid-solid coupling analysis method to truly simulate the concrete preparation process, and in the simulation process, changes simulation parameters to iteratively calculate the spatial distribution information of the aggregate rigid body used to generate a concrete mesoscopic numerical specimen, obtains a real numerical concrete mesoscopic numerical specimen according to the spatial distribution information, and then determines the real aggregate shape and its spatial distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiment of the present invention and its design scheme, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0032] Figure 1 This is a flow chart of a method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis according to Example 1 of the present invention;

[0033] Figure 2 It is a flow chart for obtaining the spatial distribution information of the aggregate rigid body;

[0034] Figure 3 This is a schematic diagram of the effect of generating concrete mesoscopic numerical specimens according to the example of the present invention. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the scope of protection of the present invention.

[0036] The present invention provides a method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis. From the perspective of rheological mechanics, a real aggregate model library is established using three-dimensional scanning technology to fully simulate the real concrete preparation process and implement the generation of concrete mesoscopic numerical specimens. Figure 1 As shown, the method comprises the following steps:

[0037] Step 1: Use a 3D scanner to build 3D models of crushed stone aggregates of different diameters, and build a real aggregate model library based on different 3D models. Calculate the number of aggregates according to the concrete mix information, and randomly select the 3D model of crushed stone aggregate in the real aggregate model library as the aggregate rigid body according to the number of aggregates.

[0038] Step 2: Determine the size and quantity of aggregate according to the concrete mix ratio and the Fuller curve, and randomly select a crushed stone aggregate three-dimensional model from the real aggregate model library as the aggregate rigid body according to the size and quantity of the aggregate.

[0039] Step 3, using the smooth particle hydrodynamics method SPH and the discrete element method DEM to simulate the mixing-pouring-vibration process of the aggregate rigid body and mortar to obtain a concrete mixture, wherein SPH is used to simulate the shear thinning behavior of the mortar, and DEM is used to simulate the movement of aggregates in the mortar; the interaction force between the aggregate rigid bodies in the concrete mixture at time t during the simulation process is calculated, and the linear velocity, angular velocity and center of mass position of the aggregate rigid body, as well as the velocity, relative density and position of the mortar particles are obtained through the interaction force.

[0040] Step 4: Update the position, pressure, linear velocity and relative density of the fluid of each aggregate rigid body in the concrete mixture in the SPH simulation space, iteratively calculate the linear velocity, angular velocity and center of mass position of the aggregate rigid body at time t+n, as well as the velocity, relative density and position of the mortar particles until the mixing-pouring-vibration process is completed.

[0041] Step 5: Extract the linear velocity, angular velocity and center of mass position of the aggregate rigid body in the concrete mixture at time t+n, as well as the spatial distribution information consisting of the velocity, relative density and position of the mortar particles, and obtain the real numerical concrete mesoscopic numerical specimen based on the spatial distribution information.

[0042] The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis proposed in the present invention is further described below through specific examples.

[0043] Example 1

[0044] like Figure 2 As shown, the implementation of the concrete mesoscopic numerical specimen generation method based on fluid-solid coupling analysis proposed in this embodiment specifically includes the following steps:

[0045] S1. Use a 3D scanner to build 3D models of real crushed stone aggregates of different gradations and establish a real aggregate model library.

[0046] S2. Determine the aggregate size and quantity according to the concrete mix ratio and Fuller curve, randomly select the three-dimensional model of crushed stone aggregate from the real aggregate model library, and use the discrete element method (DEM) to simulate the aggregate movement. Method The threshold method is used to calculate the collision contact force:

[0047] The discrete element method (DEM) is used to simulate aggregate movement. Specifically, the threshold method is used to calculate the collision contact force:

[0048]

[0049] f t (v,t,q)=f e -f c (3)

[0050] Where M is the aggregate mass matrix, t is the simulation time, q is the aggregate rigid body coordinate, v is the aggregate rigid body velocity, and f t is the resultant force of the external force and the constraint force, f e is the external force, f c is the interaction force, and L is the linear transformation function.

[0051] S3. The smoothed particle hydrodynamics (SPH) method is used to generate the mortar and simulate the shear thinning behavior of the mortar. The weak form of the control equation is:

[0052]

[0053] Where a is the target SPH particle, b is the adjacent particle, m is the mass, ρ is the density, and W is the kernel function. The acceleration of SPH particle a is:

[0054]

[0055] Where v is velocity, t is time, g is gravitational acceleration, and Γ a is the momentum dissipation term, and p is the fluid pressure:

[0056]

[0057] In the formula, c s is the speed of sound, ρ 0 is the reference fluid pressure, constant β = 7. The shear force between particles of the shear thinning mortar is:

[0058]

[0059] In the formula, is the shear rate tensor, τ y is the fluid yield stress, μ is the fluid viscosity coefficient, and n is the non-Newtonian fluid coefficient.

[0060] S4. Generate the concrete mixture of SPH-DEM coupling calculation domain (specimen), aggregate (DEM aggregate rigid body) and mortar (SPH particles). The specific steps are as follows:

[0061] S41, DualSPHysics calculates the interactions between particles according to the SPH governing equations, taking into account the fluid-aggregate rigid body interaction and the linear acceleration (dV / dt) and angular acceleration (dΩ / dt) of the aggregate rigid body. Subsequently, the velocity and SPH time step are passed to DSPHChronoLib. The linear force (F) and torque (T) are calculated. Finally, DSPHChronoLib transmits F and T to Project Chrono.

[0062] S42、Project Chrono receives F and T as external forces (f e ), the constraint force (f c ) are also applied to the aggregate bodies as internal and / or external constraints. Subsequently, the total force acting on each aggregate body is calculated. The aggregate body system state is advanced in time, which typically requires multiple internal integration time steps. This process continues until the loop exit condition is met. In each Project Chrono substep, the constraint forces and contact forces are continuously updated, while the fluid forces behave as linear interactions. The linear velocity (V), angular velocity (Ω), and center of mass position (R) of each aggregate body are included. 0 ) is returned to DualSPHysics via DSPHChronoLib.

[0063] S5, DualSPHysics updates the position (r), pressure (p), density (ρ), and velocity (v) of each particle within the SPH simulation space. The velocities of the boundary particles combined with the aggregate rigid body are calculated using the linear and angular momentum provided by Project Chrono. At this stage, the system is ready for the update process and solves for subsequent time steps if necessary.

[0064] S6. Use the mixing blade (DEM aggregate rigid body) to fully mix the aggregate and mortar in the mixture, and input the periodic displacement load at the boundary of the calculation domain to simulate the vibration process to make the mixture fully dense.

[0065] S7. Extract the spatial distribution information of aggregate in the specimen, that is, obtain the real numerical concrete mesoscopic numerical specimen.

[0066] Example 2

[0067] The implementation of the concrete mesoscopic numerical specimen generation method based on fluid-solid coupling analysis proposed in this embodiment specifically includes the following steps:

[0068] S101, use CR-Scan Lizard 3D scanner to 3D aggregate and establish an aggregate library; in this example, 500 aggregate samples are established, some of which are as follows Figure 3 shown.

[0069] S102. Calculate the quantity of aggregates based on the mix ratio information. In this example, the mix ratio of the three-grade concrete is 382 kg cement ash, 191 kg water, 810 kg coarse aggregate, and 788 kg river sand per cubic meter of concrete. The specimen is a cylinder with a diameter of 100 mm and a height of 100 mm. Based on the Fuller curve, it is calculated that the specimen requires 317 fine aggregates (diameter 0-7.5 mm), 101 medium aggregates (7.5-11.5 mm), and 45 large aggregates (11.5-20 mm).

[0070] S103, use ProjectChrono to generate the coarse aggregate rigid body, use DualSPHysic to generate mortar, apply gravity to form a pile.

[0071] S104, DEM method (ProjectChrono) is used to simulate the rigid body motion of coarse aggregate, SPH method (DualSPHysic) is used to simulate the non-Newtonian mortar flow of mortar, and the rigid body blade of aggregate stirs the coarse aggregate. The material parameters in this example are: Aggregate rigid body density 3150kg / m 3 , the aggregate rigid body contact spring stiffness is 1e9N / m 2 , the mortar yield stress is 3.9 Pa, the plastic viscosity is 38.1 Pa·s, and the non-Newtonian fluid coefficient is n=0.9 (shear thinning).

[0072] S105. The distribution of coarse aggregate in the specimen is obtained, which can be used to establish a concrete mesoscopic numerical specimen with a diameter of 100 mm and a height of 100 mm.

[0073] Based on the same inventive concept, the present invention also provides a concrete mesoscopic numerical specimen generation system based on fluid-solid coupling analysis, comprising:

[0074] The model building module is used to build the aggregate rigid body for generating concrete mesoscopic numerical specimens.

[0075] The behavior simulation module is used to simulate the mixing-pouring-vibration process of aggregate rigid bodies and mortar using the smooth particle hydrodynamics method SPH and the discrete element method DEM to obtain a concrete mixture, wherein SPH is used to simulate the shear thinning behavior of the mortar, and DEM is used to simulate the movement of aggregates in the mortar; the interaction force between the aggregate rigid bodies in the concrete mixture at time t during the simulation process is calculated, and the linear velocity, angular velocity and center of mass position of the aggregate rigid body, as well as the velocity, relative density and position of the mortar particles are obtained through the interaction force.

[0076] The simulation update module is used to update the position, pressure, linear velocity and relative density of each aggregate rigid body in the concrete mixture in the SPH simulation space, and iteratively calculate the linear velocity, angular velocity and center of mass position of the aggregate rigid body at time t+n, as well as the velocity, relative density and position of the mortar particles until the mixing-pouring-vibration process is completed.

[0077] The specimen generation module is used to extract the linear velocity, angular velocity and center of mass position of the aggregate rigid body in the concrete mixture at time t+n, as well as the spatial distribution information composed of the velocity, relative density and position of the mortar particles, and obtain the real numerical concrete mesoscopic numerical specimen based on the spatial distribution information.

[0078] Each module in the above-mentioned concrete mesoscopic numerical specimen generation system based on fluid-solid coupling analysis can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0079] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps in the embodiment of the method for generating a concrete mesoscopic numerical specimen based on fluid-solid coupling analysis. The specific implementation method can be found in the method embodiment, which will not be described in detail here.

[0080] Furthermore, the present invention also provides a non-temporary computer-readable storage medium containing instructions, and a computer program is stored on the storage medium. For example, a memory containing instructions, the above instructions can be executed by a processor of a computer device to complete the above method. For example, a non-temporary computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device. When the computer program is executed by the processor, the steps in the embodiment of the method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis can be implemented. The specific implementation method can be found in the method embodiment, which will not be repeated here.

[0081] It will be appreciated by those skilled in the art that embodiments of the present invention may provide methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0082] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0083] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0085] It should be pointed out that the specific implementation methods described above can enable those skilled in the art to understand the invention more comprehensively, but do not limit the invention in any way. Therefore, although the invention has been described in detail in this specification and embodiments, those skilled in the art should understand that the invention can still be modified or replaced by equivalents; and all technical solutions and improvements that do not deviate from the spirit and scope of the invention are included in the protection scope of the patent for the invention. Any figure mark in the claims should not be regarded as limiting the claims involved. Any simple change or equivalent replacement of the technical solution that can be obviously obtained by any technician familiar with the field within the technical scope disclosed in the present invention belongs to the protection scope of the present invention.

Claims

1. A method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis, characterized in that: include: Establish the aggregate rigid body to generate concrete mesoscopic numerical specimens; The smooth particle hydrodynamics method SPH and discrete element method DEM are used to simulate the mixing-pouring-vibration process of aggregate rigid bodies and mortar to obtain a concrete mixture, wherein SPH is used to simulate the shear thinning behavior of mortar, and DEM is used to simulate the movement of aggregates in the mortar; the interaction force between the aggregate rigid bodies in the concrete mixture at time t in the simulation process is calculated, and the linear velocity, angular velocity and center of mass position of the aggregate rigid body, as well as the velocity, relative density and position of the mortar particles are obtained through the interaction force; Update the position, pressure, linear velocity and relative density of each aggregate rigid body in the concrete mixture in the SPH simulation space, and iteratively calculate the linear velocity, angular velocity and center of mass position of the aggregate rigid body at time t+n, as well as the velocity, relative density and position of the mortar particles until the mixing-pouring-vibration process is completed; The linear velocity, angular velocity and center of mass position of the aggregate rigid body in the concrete mixture at time t+n, as well as the spatial distribution information consisting of the velocity, relative density and position of the mortar particles are extracted, and the real numerical concrete mesoscopic numerical specimen is obtained based on the spatial distribution information.

2. The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis according to claim 1 is characterized in that: The threshold method is used to calculate the interaction force between the rigid bodies of aggregates in the concrete mixture, specifically: f t (v,t,q)=f e -f c ; Where M is the aggregate mass matrix, t is the simulation time, q is the aggregate rigid body coordinate, v is the aggregate rigid body velocity, and f t is the resultant force of the external force and the constraint force, f e is the external force, f c is the interaction force, and L is the linear transformation function.

3. The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis according to claim 2 is characterized in that: The interaction forces include the interaction forces between aggregates, the interaction forces between aggregates and SPH particles, and the interaction forces between aggregates and boundaries.

4. The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis according to claim 3 is characterized in that: The external force f e The calculation is as follows: Considering the fluid-rigid body interaction and the linear acceleration dV / dt and angular acceleration dΩ / dt of the rigid body, the linear force F and torque T of the aggregate rigid body are calculated, and the external force f is obtained by the linear force F and torque T. e .

5. The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis according to claim 1 is characterized in that: The aggregate rigid body for generating the concrete mesoscopic numerical specimen is specifically established as follows: Three-dimensional models of crushed stone aggregates with different diameters are established, and a real aggregate model library is constructed. The number of aggregates is calculated according to the concrete mix information, and the three-dimensional models of crushed stone aggregates in the real aggregate model library are randomly selected as aggregate rigid bodies according to the number of aggregates.

6. The method for generating concrete mesoscopic numerical specimens based on fluid-solid coupling analysis according to claim 5 is characterized in that: The method of calculating the amount of aggregates according to the concrete mix ratio information is specifically to determine the amount of aggregates by using the Fuller curve based on the concrete mix ratio information.

7. A concrete mesoscopic numerical specimen generation system based on fluid-solid coupling analysis, characterized in that: include: Model building module, used to build aggregate rigid bodies for generating concrete mesoscopic numerical specimens; The behavior simulation module is used to simulate the mixing-casting-vibration process of aggregate rigid bodies and mortar using the smooth particle hydrodynamics method SPH and the discrete element method DEM to obtain a concrete mixture, wherein SPH is used to simulate the shear thinning behavior of the mortar, and DEM is used to simulate the movement of aggregates in the mortar; the interaction force between the aggregate rigid bodies in the concrete mixture at time t in the simulation process is calculated, and the linear velocity, angular velocity and center of mass position of the aggregate rigid body, as well as the velocity, relative density and position of the mortar particles are obtained through the interaction force; The simulation update module is used to update the position, pressure, linear velocity and relative density of each aggregate rigid body in the concrete mixture in the SPH simulation space, and iteratively calculate the linear velocity, angular velocity and center of mass position of the aggregate rigid body at time t+n, as well as the velocity, relative density and position of the mortar particles until the mixing-pouring-vibration process is completed; The specimen generation module is used to extract the linear velocity, angular velocity and center of mass position of the aggregate rigid body in the concrete mixture at time t+n, as well as the spatial distribution information composed of the velocity, relative density and position of the mortar particles, and obtain the real numerical concrete mesoscopic numerical specimen based on the spatial distribution information.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is loaded into a processor, it can execute the steps of the method according to any one of claims 1 to 6.

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